Welcome to AAAI-MAKE 2022—an international and hybrid AI symposium. On this page, you will find the program and the respective starting times—participation on-site or virtually is only possible after prior registration.
Even though this symposium is a hybrid event, we strongly believe that the possibility of on-site social interaction and the atmosphere on the Stanford campus is far from transferable by virtual means. So we hope that many may succeed in being able to participate on-site and to travel to Stanford.
Last update: 2022-03-22
Event Location
The AAAI Spring Symposium Series will be held in the History Corner (Building 200) of the Main Quad.
Registration will take place on the main Stanford Campus located at Lane History Corner/Bldg 200, 450 Jane Stanford Way Bldg 200, Stanford CA 94305.
Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE): History Room 200-002.
World Time
Time in Stanford, California, United States:Central European Time (CET):
Time in Guttet-Feschel, Valais, Switzerland:
Time in Pretoria, South Africa:
Anywhere on Earth (AoE):
Monday, March 21
Opening
9:00 am – 09:30 am
Andreas Martin, FHNW
Keynote
9:30 am – 10:30 am
Natasha Noy, Google Research and AAAI Fellow
Break
10:30 am – 11:00 am
Session 1
11:00 am – 12:30 pm
Chair: Knut Hinkelmann • 25 minutes per paper
Neural-Symbolic Reasoning under Open-World and Closed-World Assumptions
Benedikt Wagner and Artur D’Avila Garcez
Machine Learning on Simulated and Real Farm Data based on an Ontology-Controlled Data Infrastructure
Alexander Muenzberg, Christian Troost, Daniel Martini, Francisco Mendoza Tijerino, Rajiv Srivastava, Thomas Berger, Liv Seuring, Nils Reinosch, Thilo Streck and Ansgar Bernardi
A Framework for Context-dependent Augmented Reality Applications Using Machine Learning and Ontological Reasoning
Fabian Muff and Hans-Georg Fill
Lunch
12:30 pm – 2:00 pm
Session 2
2:00 pm – 3:30 pm
Chair: Reinhard Stolle • 25 minutes per paper
Combining Machine Learning with Human Knowledge for Delivery Time Estimations
Markus Lochbrunner and Hans Friedrich Witschel
Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft
Vinicius G. Goecks, Nicholas Waytowich, David Watkins-Valls and Bharat Prakash
A Hybrid Intelligent Approach for the Support of Higher Education Students in Literature Discovery
Ryan Prater and Emanuele Laurenzi
Break
3:30 pm – 4:00 pm
Session 3
4:00 pm – 5:30 pm
Chair: Hans-Georg Fill • 25 minutes per paper
SFMGNet: A Physics-based Neural Network To Predict Pedestrian Trajectories
Sakif Hossain, Fatema T. Johora, Jörg P. Müller, Sven Hartmann and Andreas Reinhardt
Adjoined Networks: A training paradigm with applications to network compression
Utkarsh Nath, Shrinu Kushagra and Yingzhen Yang
KARaML: Integrating Knowledge-Based and Machine Learning Approaches to Solve the Winograd Schema Challenge
Suk Joon Hong, Brandon Bennett, Judith Clymo and Lucia Gomez Alvarez
Reception
6.00 pm – 7:00 pm
Tuesday, March 22
Session 4 • remote/online
9:00 am – 10:30 am
Chair: Aurona Gerber (remote) • 20 minutes per paper
Contrastive Visual and Language Translational Embeddings for Visual Relationship Detection
Thanh Tran, Paulo Santos and David Powers
CalBERT – Code-mixed Adaptive Language representations using BERT
Aditeya Baral, Aronya Baksy, Ansh Sarkar, Deeksha D and Ashwini Joshi
Learning Rules with Attributes and Relations in Knowledge Graphs
Pouya Ghiasnezhad Omran, Zhe Wang and Kewen Wang
Explainable Deep Feature Embedding using Multiple Instance Learning for Pathological Image Analysis
Kazuki Uehara, Wataru Uegami, Hirokazu Nosato, Masahiro Murakawa, Junya Fukuoka and Hidenori Sakanashi
Break
10:30 am – 11:00 am
Session 5 • remote/online
11:00 am – 1:00 pm
Chair: Knut Hinkelmann • 25 minutes per paper
The FATE system iterated: Fair, Transparent and Explainable Decision Making in a Juridical Case
Maaike de Boer, Steven Vethman, Roos Bakker, Ajaya Adhakari, Michiel Marcus, Joachim de Greeff, Jasper van der Waa, Tjeerd Schoonderwoerd, Ioannis Tolios, Emma van Zoelen, Fieke Hillerström and Bart Kamphorst
ConceptSuperimposition: Using Conceptual Modeling Method for Explainable AI
Wolfgang Maass, Arturo Castellanos, Monica Chiarini Tremblay, Roman Lukyanenko and Veda C. Storey
Robots with Commonsense: Improving Object Recognition through Size and Spatial Awareness
Agnese Chiatti, Enrico Motta and Enrico Daga
Hybrid AI system delivering highly targeted news to business professionals
Anupriya Ankolekar and David Brunner
Lunch
1:00 pm – 2:00 pm
Session 6 • hybrid (on-site/remote)
2:00 pm – 3:30 pm
Chair: Hans-Georg Fill • 25 minutes per paper
Extracting Knowledge with Constructivist Machine Learning: Conceptual and Procedural Models
Thomas Schmid and Florian Große
Using the Strategy Design Pattern for Hybrid AI System Design
Stephan Jüngling, Martin Peraic and Zhu Cheng
Do it Like the Doctor: How We Can Design a Model to Diagnose Pneumothorax Using Domain Knowledge
Glen Smith, Qiao Zhang and Christopher Maclellan
Break
3:30 pm – 4:00 pm
Session 7
4:00 pm – 5:30 pm
Chair: Reinhard Stolle • 25 minutes per paper
Collusion Detection in Team-Based Multiplayer Games
Laura Greige, Fernando De Mesentier Silva, Meredith Trotter, Chris Lawrence, Peter Chin and Dilip Varadarajan
Agent Smith: Machine Teaching for Building Question Answering Agents
Ashok Goel, Harshvardhan Sikka and Eric Gregori
Conceptual Edits as Counterfactual Explanations
Giorgos Filandrianos, Konstantinos Thomas, Edmund Dervakos and Giorgos Stamou
Plenary Session
6.00 pm – 7:30 pm
Hans-Georg Fill, University of Fribourg
Representing AAAI-MAKE
Wednesday, March 23
Session 8 • short paper • hybrid (on-site/remote)
9:00 am – 10:30 am
Chair: Frank van Harmelen (remote) • 15 minutes per paper
Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions
Maëlic Neau, Paulo Santos, Anne-Gwenn Bosser, Nathan Beu and Cédric Buche
SemOI2 – Building Adaptive And Cost-Effective Recognition Applications With Semantic Augmentation
Achim Reiz, Birger Lantow and Kurt Sandkuhl
Actionable Recommendations for Small Businesses with Hybrid AI
Sudhir Agarwal, Lalla Mouatadid, Anu Sreepathy, Kevin Furbish, Morgen Kimbrell and Mike Gabriel
Decision Transformers for Glut Control in the Active Logic Machine
Justin Brody and Don Perlis
Potential Energy to Improve Link Prediction with Relational Graph Neural Networks
Simone Colombo, Dimitrios Alivanistos and Michael Cochez
Break
10:30 am – 11:00 am
Closing Session • Discussion
Moderator: Knut Hinkelmann
11:00 am – 12:30 pm
End of the Symposium
12:30 pm
Presentation Format
Symposium contributors will present their paper in a short 15-minute presentation (short-paper 10-minute), followed by a 10-minute discussion (short-paper 5-minute).
Virtual Participation / Presentation
Although our symposium is primarily an on-site event, people who are unable to travel due to COVID-19 measures or disease, or whose participation poses a health risk to themselves or others, will now have two options:
- Virtual / remote PARTICIPATION via Zoom with mandatory registration
- Virtual / remote PRESENTATION via Zoom or a pre-recorded video without registration requirement
Remote participants will receive credentials for accessing the virtual symposium meeting. This information will be sent to you shortly before the symposium via the email address you used for registration.
The virtual symposium meeting will be hosted on the Zoom conference platform. Please note to have Zoom (at least version 5.0) installed (https://zoom.us/download) in advance of the symposium.
Registration*
Accepted authors, invited speakers, symposium participants, and other invited attendees must register to participate in the symposia. Please register via the online registration form (https://aaaiconf.cventevents.com/sss22).
* The Association for the Advancement of Artificial Intelligence (AAAI) is responsible for the overall organization of all the Spring Symposium Series. For any inquiries related to registration, please contact the AAAI at sss22@aaai.org or consult the AAAI’s website (https://aaai.org/Symposia/Spring/sss22.php).